Aya Ebihara
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
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- Cardiovascular Function and Risk Factors
- Blood Pressure and Hypertension Studies
Papers in
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- Cardiovascular Function and Risk Factors 6
- Cardiac Valve Diseases and Treatments 6
- Chemotherapy-induced cardiotoxicity and mitigation 3
- Surgery 6
- Cardiac Structural Anomalies and Repair 4
- Co-authors
- Takayuki Shindo (4 shared papers)Ryozo Nagai (11 shared papers)Takao Sugiyama (6 shared papers)Hiroshi Iwata (4 shared papers)Pei Niu (3 shared papers)Satoshi Iimuro (3 shared papers)Yuelan Zhang (3 shared papers)Norifumi Takeda (3 shared papers)
In The Last Decade
Aya Ebihara
24 papers receiving 560 citations
Peers
Comparison fields: 5 of 69
- Clinical Biochemistry 144
- Cardiology and Cardiovascular Medicine 212
- Cellular and Molecular Neuroscience 160
- Biochemistry 40
- Pharmacology 71
Countries citing papers authored by Aya Ebihara
This map shows the geographic impact of Aya Ebihara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aya Ebihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aya Ebihara more than expected).
Fields of papers citing papers by Aya Ebihara
This network shows the impact of papers produced by Aya Ebihara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aya Ebihara. The network helps show where Aya Ebihara may publish in the future.
Co-authors
The 25 scholars most cited alongside Aya Ebihara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 160 | |
| 2 | 2004 | 100 | |
| 3 | 2004 | 84 | |
| 4 | 2011 | 62 | |
| 5 | 2000 | 44 | |
| 6 | 2003 | 26 | |
| 7 | 2014 | 15 | |
| 8 | 2011 | 15 | |
| 9 | 2011 | 9 | |
| 10 | 2007 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2001 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2008 | 5 | |
| 15 | 2006 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2008 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2000 | 2 |
About Aya Ebihara
Aya Ebihara is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 571 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Clinical Biochemistry (144 citations), Cardiology and Cardiovascular Medicine (212 citations), Cellular and Molecular Neuroscience (160 citations), Biochemistry (40 citations) and Pharmacology (71 citations). Aya Ebihara has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Takayuki Shindo, Ryozo Nagai, Takao Sugiyama, Hiroshi Iwata, Pei Niu, Satoshi Iimuro, Yuelan Zhang, Norifumi Takeda, Hiroyuki Morita and Chikuma Hamada. Their work appears in journals such as Hypertension Research, Colloids and Surfaces A Physicochemical and Engineering Aspects, European Heart Journal - Cardiovascular Imaging, Atherosclerosis and Circulation Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.